CV
Education
Bocconi University (Università Bocconi)
Double Degree, Master of Science in Finance (Quantitative Finance Track)
Shanghai Advanced Institute of Finance, Shanghai Jiao Tong University
Master of Science, Finance
Relevant coursework:
Finance(I,II)
Machine Learning (I,II)
Financial Mathematics
Fixed Income Securities
Derivative Securities
Financial Econometrics
Vega (Faculty of Mathematics), Lomonosov Moscow State University (MSU)
Visiting Student, Financial Mathematics
Relevant coursework:
Stochastic Calculus
Monte Carlo Simulations
ML in Finance
Plekhanov Russian University of Economics (PRUE)
Bachelor of Science, Economics (English-taught)
Relevant coursework:
Risk Management
Statistics
Econometrics (I, II)
Investment Analysis
Linear Algebra (I,II)
Calculus
Probability Theory
International Business School (IBS), Beijing Foreign Studies University (BFSU)
Visiting Student, Finance (International Finance)
Relevant coursework:
Investment Analysis
Business Law
Chinese (HSK3)
Professional Experience
New Development Bank (NDB)
ESG Analyst Intern
- Conduct in-depth ESG thematic research on sustainable finance, policy developments, and emerging controversies related to NDB projects.
- Assist ESG Department professionals and external consultants in preparing the Portfolio Review of Environmental and Social Safeguards implementation across BRICS countries.
- Monitor global sustainable finance trends, MDB practices, and regulatory developments relevant to climate finance and development banking.
L'Oréal
Finance Manager-Trainee, Leadership Program
- Developed budgets and trend forecasts for 2025–2026 (~$20M) across L’Oréal Russia’s Supply Chain, Internal Employee Store, and “No Waste” manufacturing policy.
- Automated financial period closing, improving accounting accuracy and accelerating the process by 15% using SAP scripts and Excel VBA.
- Restructured internal financial reporting and BI dashboards, improving KPI accuracy across global and local Supply Chain Finance reports.
Pre-Graduate Experience
MARS Inc.
Data Analyst Intern
- Analyzed MARS Sales across Regions, Distributor channels, and Branches using Excel (VBA) and Python (Pandas, NumPy, Matplotlib) to pinpoint efficient chains.
- Developed a Power BI Dashboard to monitor the financial performance (P&L) of all MARS distributors in Russia, enabling senior managers to refine Distributor Engagement Strategy.
- Designed a KPI-based quarterly scorecard to evaluate distributor performance, identifying top partners and supporting the development of a Bonus Payout Program.
Plekhanov Russian University of Economics (PRUE)
Researcher (Scientific practice)
- Analyzed CO₂ emissions data (2020–2021) in Russia’s manufacturing industries, assessing efficiency and the financial potential of implementing ESG initiatives.
- Supported senior researchers at the Research Institute for the Low-Carbon Economy in Data collection and preparation for academic papers on Environmental and Economic discourse in Russia.
Honors and Scholarships
Government Innovation Fund (6th Wave)
Startup Grant of $10,000 (National Level)
Plekhanov Russian University of Economics (PRUE)
Merit Student (University Level)
Shanghai Advanced Institute of Finance (SAIF)
MF Global Impact Scholarship (University Level)
IÉSEG School of Management
Merit-Based Scholarship (University Level)
Tsinghua University
Full Excellence Scholarship (University Level)
Government Innovation Fund (5th Wave)
Startup Grant of $10,000 (National Level)
Achievements
Data Fusion Contest 2026 - Top 4.7% (National level, 56th out of 1142 participants)
- Multi-label ML-competition organized by VTB Bank (Leading Russian Bank) to predict the probability of clients opening 41 banking products using anonymized data from 1M customers.
- Designed a target-wise ensemble framework (per-target models) combining XGBoost, CatBoost, and auxiliary feature pipelines.
Changellenge Cup Moscow 2021 - Semifinalist (National level)
- Ranked among the top 1/16 teams out of 1000+ participants, qualified for the semifinals.
- Recognized with a High-Quality Award for analytical depth and solution rigor.
- Conducted Market Analysis and developed a Data-driven business strategy for Perfetti Van Melle.
Plekhanov Case Club & Groupe SEB 2021 Case Championship - Winner
- Led Market research and built financial model to support a strategic recommendation for Groupe SEB.
- Received Fast-track to Groupe SEB as a first-year Bachelor student.
Personal Characteristics
Programming Languages
Python
SQL
LaTeX
VBA
C++ (In process...)
Machine Learning
Gradient Boosting
Time Series Forecasting
Feature Engineering
Software
SAP ERP
IBM Compass
Power BI
Excel (Advanced Tools)
PowerPoint (Think-cell)
Bloomberg Terminal
Git
Languages
Russian (Native)
English (Fluent)
Chinese (Intermediate Proficiency)
Interests
Investments (Bond Market, MOEX)
Weightlifting
Political and Economic history
Courses
University of Pennsylvania
Introduction to Finance and Accounting
Completed · Certificate available (PDF)
Hong Kong University of Science and Technology (HKUST)
Python and Statistics for Financial Analysis
Completed · Certificate available (PDF)
Central Bank of Russian Federation (Fintech Hub)
Machine Learning LITE: Basic Level
Completed · Certificate available (PDF)
Full details are in the attached PDF.